{
  "abstract": "Multimodal large language models predict brain activity, but brain alignment has been a measurement, not a design tool. We propose the Platonic brain bridge hypothesis: omni models, multimodal large language models that process video, audio and text jointly, converge on brain-like representations usable in both directions. From model to brain, brain-likeness of seven omni models is stable across participants, rises with every input channel in three bases, and our encoders lead the Algonauts 2025 out-of-distribution leaderboard. From brain to model, Brain-MoE fixes the expert partition of a frozen base to the seven networks of human cortex, trains experts on network-labelled Brain-AVQA questions, raises held-out accuracy in all 15 model-benchmark pairs by 6.42 percentage points on average and exceeds capacity-matched random experts in 14. Brain-Scope localizes the correspondence to sparse features whose removal weakens brain prediction. Human brain organization is therefore a usable architectural prior for multimodal large language models.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2609.10947",
  "author_total": 4,
  "authors": [
    {
      "name": "Pengfei Zhang"
    },
    {
      "name": "Biao Tian"
    },
    {
      "name": "Xiangang Li"
    },
    {
      "name": "Li Liu"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ddkhpry1zn018.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2609.10947",
  "fulltext_url": null,
  "id": "ddkhpry1zn018",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2609.10947",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.LG"
    ],
    [
      "arxiv",
      "q-bio.NC"
    ],
    [
      "openalex",
      "1707|Multimodal Machine Learning Applications"
    ]
  ],
  "openalex": "W7212310633",
  "pdf_url": "https://arxiv.org/pdf/2609.10947",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-14",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/ddkhpry1zn018.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:21:30Z",
      "native_id": "2609.10947",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2609.10947"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "arxiv:q-bio.NC",
      "subfield": "neuroscience"
    }
  ],
  "title": "The Platonic brain bridge hypothesis: human brain networks as an architectural prior for multimodal large language models",
  "title_text": "The Platonic brain bridge hypothesis: human brain networks as an architectural prior for multimodal large language models",
  "type": "preprint",
  "updated_at": "2026-11-05T15:20:29Z",
  "url": "https://research.draconitic.com/paper/ddkhpry1zn018",
  "venue": "arXiv",
  "versions": []
}